Wind Power Time Series Modeling Method for Multiple Wind Farms Considering Fluctuation Tendency and Correlation Characteristics

被引：1
|
作者：
Guo Z. [1 ]
Si G. [1 ]
Huang Y. [2 ]
Li P. [2 ]
机构：
[1] School of Electrical Engineering, Xi'an Jiaotong University, Xi'an
[2] China Electric Power Research Institute, Beijing
来源：
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | 2018年 / 52卷 / 04期
关键词：
Copula function; Fluctuation characteristics; Multiple wind farms; Time series;
D O I：
10.7652/xjtuxb201804002
中图分类号：
学科分类号：
摘要：
A new wind power modeling method is proposed for multiple wind farms considering fluctuation tendency and correlation characteristics for planning and operation of power system. These wind power time series are divided into several wind processes, which are defined as local fluctuation processes and are quantitatively expressed. Classifying the months with similar characteristics, the correlations of these fitting parameters are analyzed, and the Copula function is established. Combining with Copula function, the fluctuation parameters are sampled sequentially, hence the constructed similar time series have remarkable correlation characteristics. This method focuses on the local correlation characteristics with fluctuation feature and avoids concerning only the entire correlation. A simulation for some wind farms in China is performed and comparisons of correlation between two wind farms and between historical and simulated time series show that the proposed method is effective and the local correlation is well considered. © 2018, Editorial Office of Journal of Xi'an Jiaotong University. All right reserved.
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页码：7 / 14
页数：7
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